Performance of the algorithms for arousal and valence in year 2013.
收藏Figshare2017-03-11 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Performance_of_the_algorithms_for_arousal_and_valence_in_year_2013_/4744951
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资源简介：
BLSTM-RNN—Bi-directional Long-Short Term Memory Recurrent Neural Networks. GPR—Gaussian Processes Regression. SVR—Support Vector Regression.
创建时间：
2017-03-11
